Data Ethics Jobs in Bengaluru

Position: Senior Associate Legal Location: Bengaluru Employment Type: Full-Time About Zolve Zolve is the world s first **cross-border neo-bank**, enabling migrants and global citizens to access financial products credit, checking accounts, insurance, and loans based on their home-country credit score. By breaking geographic boundaries, Zolve empowers users to navigate financial systems across countries seamlessly. As Zolve expands, we are seeking a Senior Associate Legal to provide legal support for our partner ecosystem and internal business operations. Role Overview The Senior Associate Legal will support Zolve s business teams by **drafting, reviewing, and negotiating contracts**, advising on cross-border legal and regulatory matters, and ensuring compliance with applicable laws. This role is ideal for a proactive, adaptable legal professional with a **startup mindset** who can balance legal expertise with fast-paced business needs. Key Responsibilities Contracting & Legal Advisory **Draft, review, and negotiate** a wide variety of agreements, including SaaS, IT services, IP licenses, collaboration, staffing, marketing, hardware, and NDAs. Advise business teams on key legal and regulatory matters, aligning inputs with strategic growth priorities. Provide support on contract disputes, **dispute resolution, and litigation** where required. Cross-Border Compliance Advise on **cross-border legal and regulatory matters**, including **data protection, FEMA, RBI guidelines**, and other applicable financial regulations. Gain exposure to international contracting frameworks, particularly across **APAC and EU regions**. Stakeholder Engagement Collaborate with senior leadership and business teams to ensure legal inputs are **practical and aligned with business objectives**. Support risk assessment, due diligence, and compliance initiatives. Qualifications Education: **Bachelor s degree in Law (LLB)** or equivalent. Master s degree or professional certification (e.g., Bar Admission) preferred. Experience: **2 5 years of post-qualification experience**. Experience in **fintech, financial services, or technology sectors** preferred. In-house counsel or top-tier law firm background is advantageous. Exposure to APAC or EU contracting frameworks is desirable. Skills & Competencies: Strong **drafting, negotiation, and risk assessment skills**. Knowledge of **financial regulations, data protection, and corporate governance**. Excellent research, analytical, and communication skills. Ability to manage multiple priorities independently. **Startup mindset**: proactive, adaptable, outcome-driven, and eager to learn. High ethical standards and professional integrity. Qualification : Bachelors degree in Law (LLB) or equivalent

Job Title: Product Manager Experience: 3+ Years Location: Bangalore Company: Kaleidofin About Kaleidofin Kaleidofin is a mission-driven fintech platform working to deliver finance for everyone, everywhere. We serve low-income and informal economy segments with ki credit a comprehensive solution that combines credit scoring (ki score), seamless infrastructure integration, risk dashboards (ki view), and structured capital products. With a presence in India, Bangladesh, and Kenya, our solutions are trusted by inclusive financial institutions and have impacted 6+ million customers, enabling over $3 billion in debt capital to underserved communities. Backed by marquee investors like the Gates Foundation, Omidyar Network, and Rabo Partnerships, Kaleidofin has been featured on the Forbes Asia 100 to Watch and is a multi-year Great Place to Work awardee. Role Overview: Product Manager We are looking for a Product Manager to join our high-impact product team. In this role, you ll own the end-to-end lifecycle of key fintech products from concept to launch and beyond. You ll work closely with engineering, business, and design teams to drive product vision, strategy, and delivery. You ll be responsible for building scalable solutions that serve real customer needs, improve operational efficiency, and drive meaningful outcomes for financial inclusion. Key Responsibilities Own and manage the entire product lifecycle ideation, development, launch, iteration. Translate business strategy into a clear product roadmap and maintain a well-groomed backlog. Deliver impactful features and enhancements across new and existing products. Define and track product OKRs; analyze performance to guide data-driven decisions. Partner with cross-functional teams engineering, data, business, and operations to align on goals and execution. Conduct competitor analysis, market research, and user feedback sessions to inform product direction. Ensure security and compliance responsibilities are understood and adhered to for all product initiatives. Advocate for the user, championing high-quality experiences across every interaction. 3+ years of experience in product management, ideally in B2B SaaS or fintech. Strong background in building and scaling B2B products; experience in the financial services space is a big plus. Demonstrated ability to contribute to product vision, create roadmaps, and align cross-functional teams. Solid understanding of agile methodologies and product development cycles. Excellent written and verbal communication skills comfortable presenting to leadership and stakeholders. Highly self-motivated with a strong work ethic; thrives in a fast-paced, high-ownership environment. Bachelor's degree or equivalent professional experience. Build meaningful products that directly impact millions across emerging markets. Join a fast-growing, globally recognized fintech platform backed by top-tier investors. Collaborate with a diverse and mission-driven team working on real-world financial problems. Be part of a culture that values innovation, ownership, and continuous learning. Apply now and be part of Kaleidofin s journey to drive financial impact at scale. Qualification : Bachelor's degree or equivalent professional experience

Principal Associate Full Stack Engineering (GenAI Observability) Location: Bangalore Company: Capital One India About Us At Capital One India, we re tackling some of the most complex problems in financial services using machine learning, advanced analytics, and cloud-first engineering. Our mission is to build cutting-edge, patentable solutions that transform customer experiences, enhance operational efficiency, and ensure robust risk and compliance standards. We re a team of makers, breakers, doers, and disruptors obsessed with turning data into real-world impact at scale. About the Team Machine Learning Experiences (MLX) The MLX team is pioneering the future of model governance, ML observability, and Generative AI infrastructure at Capital One. We re enabling teams to seamlessly deploy ML and GenAI models at scale, with full visibility into performance, health, compliance, and ethical usage. This is the platform powering the next generation of AI-driven financial products across the company. About the Role We re looking for a Principal Associate Full Stack Engineer to lead the development of observability platforms for Generative AI systems. You ll be part of a cross-functional team focused on governance automation, LLM monitoring, and intelligent diagnostics using telemetry data, metadata, and advanced analytics. You ll design systems to collect, analyze, and visualize performance data from our large-scale GenAI infrastructure, helping data scientists and engineers make faster, safer decisions. What You ll Do Lead architecture and development of observability tools and dashboards for monitoring GenAI models and platform health. Design and build core APIs and SDKs to instrument large language models (LLMs) and foundational models (training, fine-tuning, prompting stages). Integrate Generative AI to enable observability features like anomaly detection, predictive analytics, and copilot-assisted troubleshooting. Partner with platform, MLOps, and governance teams to ingest and analyze telemetry, metadata, and runtime metrics at scale. Drive development of tools to ensure compliance with AI ethics, data governance, and industry regulations. Collaborate with product, design, and research to turn complex requirements into scalable, cloud-native software solutions. Lead proof-of-concept initiatives to test and showcase how GenAI can improve platform observability and decision-making. Contribute to the open-source community and stay at the forefront of GenAI and ML infrastructure evolution. Basic Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or related field 4+ years of experience building distributed, data-intensive systems using microservices architecture 4+ years of experience in backend development with Python, Go, or Java 4+ years of expertise with observability stacks (Prometheus, Grafana, ELK) and adapting them for AI systems Strong knowledge of OpenTelemetry, and experience building custom SDKs and APIs 5+ years of hands-on experience with Generative AI models, especially applied to observability, governance, or compliance 2+ years of experience with cloud platforms such as AWS, Azure, or GCP Preferred Qualifications 4+ years building and optimizing ML systems in production environments 3+ years of experience with MLOps tools like MLflow, Kubeflow, or commercial platforms Experience with GenAI frameworks and libraries like LangChain, Haystack, and vector databases (FAISS, Chroma, OpenSearch) Familiarity with emerging observability tools for LLMs such as Langfuse, Phoenix, Helicone, or OpenInference Contributor to open-source GenAI or ML infrastructure projects Author or co-author of published work in AI/ML observability, governance, or performance monitoring Experience with PyTorch, TensorFlow, Spark, or Dask Knowledge of NVIDIA GPU telemetry, CUDA programming, and performance optimization for AI workloads Understanding of AI ethics, data governance, and regulatory frameworks for machine learning systems Why Join Capital One India Work at the intersection of technology, AI, and compliance helping shape the future of responsible AI Join a team driving enterprise-wide adoption of Generative AI Collaborate with world-class engineers, data scientists, and product leaders Enjoy a high-performance culture that encourages innovation, learning, and mentorship Access to cutting-edge tools, open-source contributions, and cloud-native infrastructure Qualification : Bachelors or Masters degree in Computer Science, Engineering, or related field

Job Title: Process Trainer Location: Bengaluru Company: Altisource (NASDAQ: ASPS) About Us At Altisource, we build world-class technology and services for the mortgage and real estate industries. We partner with 7 of the top 10 U.S. mortgage servicers, operate one of the top three real estate auction platforms, and manage a cooperative representing over 15% of the $1.8 trillion U.S. originations market. If you're detail-oriented, have a passion for training, and thrive in a dynamic environment this is your chance to make an impact. Position Summary We re looking for a skilled and enthusiastic Learning & Development (L&D) Trainer to design and deliver high-impact training programs for our mortgage services teams. You'll play a key role in enhancing performance, improving process understanding, and supporting business goals. This role is based in Bengaluru, and will begin in a remote capacity. Key Responsibilities Training Delivery & Facilitation Conduct engaging and effective training sessions (both live and online). Facilitate new hire, cross-skill, refresher, and floor support training. Apply adult learning principles and creative training techniques for maximum retention. Instructional Design & Content Development Design customized L&D programs based on business needs. Collaborate with SMEs to convert expert content into learner-friendly modules (classroom, online, or blended formats). Performance Tracking & Coaching Monitor trainee performance during training programs; provide developmental feedback and coaching. Use data analytics to identify training gaps and conduct refresher sessions as needed. Process Management & Improvement Maintain training records and data as per L&D protocols. Drive process improvements in training delivery and program management. Support training-related documentation and project timelines. Stakeholder Collaboration Liaise with business and L&D teams to ensure alignment on processes, scheduling, and training requirements. Attend and implement insights from any client-mandated training sessions. Mentorship & Team Support Mentor junior trainers in facilitation, content delivery, and training methodologies. Participate in on-the-job training support and floor activities. Qualifications & Skills Experience: Minimum 2+ years of experience in U.S. Mortgage Origination Services. Education: Graduate in any discipline. Technical Skills: Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint). Communication: Strong verbal and written communication skills. People Skills: Good interpersonal and team management capabilities. Business Acumen: Ability to analyze data, recommend process changes, and collaborate with global teams. Work Ethic: Strong organizational skills with the ability to meet tight deadlines and handle pressure. A collaborative and growth-oriented work environment. Opportunities to make a meaningful impact through training and development. A chance to work with one of the leading names in the mortgage and real estate industry. Join us and be a part of transforming how homes are bought, sold, and managed. Qualification : Graduate in any discipline

Position: Data Scientist (AI/ML Expert) Location: Pritech Park SEZ, Block 09, 4th Floor B Wing, Survey No. 51 to 64/4, Outer Ring Road, Bellandur V, Bangalore, Karnataka, India Department: Advanced Analytics Employment Type: Subexian Experience Required: 1 to 3 years Job Overview: We are looking for a talented Data Scientist with expertise in AI/ML to join our Advanced Analytics team. As a key contributor, you ll design, develop, and validate predictive models, recommendation systems, and forecasting solutions, while also collaborating with cross-functional teams to deliver cutting-edge solutions using the latest technologies. Key Responsibilities: Model Development: Design, develop, and validate predictive models, recommendation systems, and forecasting solutions using a mix of statistical, machine learning, and deep learning techniques. You will work both independently and as part of a collaborative team. Data Visualization & Reporting: Communicate actionable insights effectively through compelling dashboards, reports, and visualizations using tools such as Superset, Power BI, and Python libraries (Matplotlib, Seaborn, Plotly). AI & Tech Solutions: Collaborate with teams to design and deliver flexible, scalable solutions using advanced technologies such as AI and large language models (LLMs). API Development: Develop and integrate REST APIs and frameworks such as Flask or FastAPI for seamless deployment of machine learning models. Documentation: Maintain clear, comprehensive documentation for data workflows, model development, and analytical methodologies to ensure knowledge sharing and transparency across teams. Continuous Learning: Stay up-to-date with the latest trends and advancements in data science, algorithms, and technologies, ensuring your skills and knowledge remain cutting-edge. Required Technical Skills: Python Proficiency: Strong experience with Python and libraries like Scikit-learn, TensorFlow/PyTorch, and data visualization libraries (Matplotlib, Seaborn, Plotly). SQL: Solid hands-on experience in SQL for efficient data querying. ML Ops & Pipelines: Understanding of machine learning operations (ML Ops) and ML pipelines for streamlined model deployment. Cloud & Distributed Computing: Exposure to cloud platforms such as AWS, Azure, or GCP and distributed computing tools like Hadoop, Spark, or Pyspark is a plus. Soft Skills: Effective Communication: Strong ability to communicate complex analytical findings in a clear and engaging manner, tailoring insights for both technical and non-technical audiences. Problem-Solving: A proactive problem-solver with the ability to adapt and thrive in a fast-paced, dynamic environment. Continuous Growth: Self-motivated, curious, and always seeking opportunities for professional growth and learning. At Subex, we encourage a collaborative, innovative, and growth-driven work environment. If you're passionate about applying data science techniques to real-world challenges and want to work with cutting-edge AI/ML technologies, we d love to hear from you!

Job Title: Senior Manager Data Science, Data Modelling & Analytics Location: Bengaluru Department: Insights & Analysis About the Role: As a Senior Manager, you will lead a team of data scientists and analysts, driving the development and deployment of advanced analytics solutions that enable data-driven decision-making. This role blends strategic leadership with hands-on technical expertise, playing a critical part in delivering impactful insights and analytics across the organization. Key Responsibilities: Hands-On Technical Contribution: Design, develop, and deploy advanced machine learning models and statistical analyses to address complex business challenges. Utilize Python, R, SQL, and other tools to manipulate data and build predictive models. Manage end-to-end data pipelines including collection, cleaning, transformation, and visualization. Collaborate with IT and data engineering teams to integrate analytics solutions into production environments. Provide thought leadership on analytics solutions and metrics aligned with business needs. Team Leadership & Development: Lead, mentor, and manage a team of data scientists and analysts, fostering collaboration and innovation. Guide career development, conduct performance evaluations, and promote skill enhancement. Encourage continuous learning and adoption of best practices in data science methodologies. Strategic Planning & Execution: Collaborate with senior leadership to define and execute data science strategy aligned with business goals. Identify and prioritize high-impact analytics projects that deliver business value. Ensure timely and quality delivery of analytics solutions balancing scope and resources. Client Engagement & Stakeholder Management: Act as primary point of contact for clients, translating business challenges into data science solutions. Lead client presentations, workshops, and discussions, effectively communicating complex analytical concepts. Build and maintain strong client relationships, managing expectations and deliverables. Deliver regular reports and dashboards to senior management and stakeholders. Bridge communication between technical teams and business units to align analytics initiatives with organizational objectives. Cross-Functional Collaboration: Work closely with Business Intelligence, Market Analytics, and Data Engineering teams to integrate analytics into business processes. Translate complex insights into actionable recommendations for non-technical stakeholders. Facilitate data-driven workshops and presentations across the organization. Collaborate with support functions to provide timely leadership updates on operational metrics. Governance & Compliance: Ensure compliance with data governance policies and data privacy regulations (e.g., GDPR, PDPA). Implement best practices for data quality, security, and ethical analytics use. Stay abreast of industry trends and regulatory changes affecting data analytics. Qualifications: Education: Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. Experience: 12+ years in advanced analytics, data science, data modelling, machine learning, or related fields. 5+ years in leadership roles managing analytics teams and projects. Experience in BFSI, Hi-Tech, Retail, or Healthcare industries preferred. Experience with media data is a plus. Technical Skills: Proficiency in Python, R, SQL. Experience with data visualization tools like Tableau, Power BI. Familiarity with big data platforms (Hadoop, Spark) and cloud services (AWS, GCP, Azure). Strong knowledge of machine learning frameworks and libraries. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and interpersonal abilities. Ability to influence and drive organizational change. Strategic thinker focused on business outcomes. Desirable Expertise: Advanced Analytics Techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression, time series forecasting, classification, market mix modelling. Prescriptive Analytics: Optimization, simulation modelling. Text Analytics: NLP, sentiment analysis. Machine Learning Techniques: Supervised Learning: Linear/logistic regression, decision trees, random forests, gradient boosting, SVMs. Unsupervised Learning: Clustering, PCA, anomaly detection. Reinforcement Learning: Q-learning, deep Q-networks. Generative AI & Large Language Models (Good to Have): Experience with GPT, Gemini, LLAMA, etc. for text generation, summarization, conversational agents. Hyperparameter tuning, prompt engineering, embeddings, fine-tuning. Additional Skills: Proficiency with Tableau or Power BI (advanced visualization). Strong data management, structuring, and harmonization skills.

Position Title: Senior Data Engineer Databricks, PySpark, Cloud Platforms Location: Bengaluru Bellandur (GTP) Employment Type: Full-time Job Summary Synechron is looking for a Senior Data Engineer to join our advanced analytics team in Bengaluru. In this role, you will architect and build scalable, high-performance data pipelines that power data science, analytics, and business intelligence initiatives. You ll work with modern tools including Databricks, PySpark, and cloud data platforms, while collaborating across teams to ensure high-quality, secure, and efficient data solutions. Key Responsibilities Design, develop, and maintain large-scale, secure, and efficient data pipelines using Databricks, PySpark, and cloud-native tools. Partner with data scientists, analysts, and business stakeholders to translate requirements into robust data solutions. Integrate data from various structured, semi-structured, and streaming sources. Ensure high standards for data quality, performance optimization, security, and cost efficiency. Drive data pipeline automation, orchestration, and monitoring using tools like Airflow. Lead troubleshooting efforts, performance tuning, and enhancements of existing pipelines. Stay informed about emerging data technologies and recommend adoption where relevant. Technical Skills Core Expertise Programming: Python (expert), SQL (advanced), PySpark. Platforms: Databricks (clusters, notebooks, workflows), AWS/Azure/GCP. Data Orchestration: Apache Airflow (or similar). Data Warehousing: Snowflake (preferred), data modeling, ETL/ELT pipelines. Streaming: Kafka or other stream processing tools. DevOps: CI/CD (GitLab CI, Jenkins), version control (Git), containerization (Docker/Kubernetes preferred). Security: Familiarity with encryption, access controls, and compliance best practices. Experience 8+ years of experience in data engineering or related roles. Proven expertise in developing and deploying scalable data pipelines using Databricks, PySpark, and SQL. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Strong background in data warehousing, especially with Snowflake. Exposure to real-time data processing and orchestration tools. Experience implementing CI/CD pipelines for data workflows is a plus. Daily Responsibilities Build and optimize data ingestion, transformation, and storage workflows. Collaborate with cross-functional teams to align data solutions with business objectives. Monitor, troubleshoot, and continuously improve pipeline performance. Conduct data quality checks, ensure governance and compliance standards. Contribute to technical documentation, code reviews, and team knowledge sharing. Qualifications Bachelor s or Master s degree in Computer Science, IT, or related field. Relevant certifications (e.g., Databricks Certified Data Engineer, AWS Certified Data Analytics) are preferred. Professional Competencies Strong problem-solving and analytical mindset. Effective communicator with ability to collaborate across technical and non-technical teams. Time management and prioritization skills under tight deadlines. Proactive leadership and a passion for innovation. Commitment to ethical data use and data security. Diversity & Inclusion at Synechron Synechron is committed to building an inclusive, diverse, and equitable workplace. Through our global Same Difference DEI initiative, we celebrate and support people from all backgrounds, including race, gender, sexual orientation, religion, age, disability, and more. We offer flexible work arrangements, continuous learning, internal mobility, and mentoring programs to support every employee s growth. Qualification : Bachelors or Masters degree in Computer Science, IT, or related field

Position Title: Lead AI/ML Engineer Location: Bengaluru Bellandur (GTP) Employment Type: Full-time Job Summary Synechron is seeking a seasoned Lead AI/ML Engineer to lead cutting-edge initiatives in artificial intelligence and machine learning. This role requires deep technical expertise in AI/ML, including deep learning, NLP, computer vision, and generative AI, combined with strong leadership skills to manage teams and drive innovation. You will collaborate closely with stakeholders to deliver high-impact solutions and play a key role in shaping the company s AI-driven digital transformation. Key Responsibilities Lead end-to-end development of AI/ML solutions across use cases involving machine learning, deep learning, computer vision, NLP, and generative AI. Design and implement scalable models and algorithms, ensuring performance, accuracy, and interpretability. Collaborate with product owners, engineers, and business stakeholders to align AI/ML initiatives with strategic objectives. Mentor and guide data scientists and ML engineers to elevate technical quality and delivery standards. Continuously evaluate emerging AI technologies, frameworks, and methodologies to enhance team capabilities. Contribute to innovation strategy by identifying new business opportunities driven by AI/ML. Ensure data and model governance, ethical AI practices, and responsible deployment of AI solutions. Required Skills & Tools Core Competencies: Strong hands-on experience in machine learning, deep learning, NLP, computer vision, and generative AI. Expertise in Python (primary), with additional knowledge of R, SQL, Java, or C++. Deep understanding of statistics, linear algebra, probability, and algorithm design. Frameworks & Tools: TensorFlow, PyTorch, Keras, OpenCV, Hugging Face, spaCy, Scikit-learn, etc. Data processing tools like Pandas, NumPy, and Spark. Version control and CI/CD tools (e.g., Git, MLflow, Docker, Airflow). Methodologies: Proficient in Agile development and model lifecycle management. Experience with productionizing AI models and deploying them on cloud platforms (AWS, Azure, GCP). Experience 8 12 years of experience in AI/ML, Data Science, or related domains. Minimum 8+ years in a leadership or technical lead role driving successful AI/ML initiatives. Proven record of delivering high-impact AI/ML projects at scale. Experience mentoring and managing AI/ML teams in collaborative, cross-functional environments. Day-to-Day Activities Direct and oversee AI/ML model development, validation, deployment, and monitoring. Review project designs, provide technical oversight, and conduct code/model reviews. Drive research and experimentation to apply novel AI methods to solve real-world problems. Support proposal development and client engagements with AI/ML subject matter expertise. Foster a culture of continuous learning, innovation, and data-driven thinking. Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Relevant certifications (e.g., TensorFlow, AWS Machine Learning, Azure AI Engineer) are a plus. Soft Skills Strong leadership, team management, and mentoring capabilities. Excellent communication and stakeholder engagement skills. Strategic thinking with a passion for innovation and emerging technologies. Ability to thrive in a dynamic, fast-paced environment and lead through ambiguity. Diversity & Inclusion at Synechron Synechron is committed to a diverse and inclusive workplace. Through our Same Difference DEI initiative, we celebrate unique backgrounds and perspectives while fostering a respectful, empowering environment. We welcome applications from candidates of all identities and provide support through mentoring, internal mobility, and flexible work arrangements. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Job Title: Assistant Manager Corporate Finance & Treasury Location: Bangalore Department: Corporate Finance Role Overview We are seeking a detail-oriented and proactive Assistant Manager Corporate Finance & Treasury to manage and optimize Zetwerk s treasury operations. This role involves overseeing cash management, regulatory compliance, banking relationships, and treasury accounting to ensure smooth financial operations and robust control across the organization. Key Responsibilities Monitor and manage daily cash positions across multiple banks and entities to optimize fund utilization, including intercompany fund flows, interest calculations, and short-term investments. Oversee internal and external data management processes to ensure accuracy and compliance; prepare and deliver timely financial and regulatory reports to stakeholders and authorities. Ensure strict adherence to regulatory requirements and contractual covenants, preparing necessary documentation and proactively managing any compliance risks. Execute various payments (vendor, statutory, FX, interest, etc.) in coordination with Accounts Payable and other internal teams, while maintaining compliance with internal controls and Standard Operating Procedures (SOPs). Build and maintain strong relationships with banks and financial institutions to support financing needs, forex transactions, trade finance, and daily banking operations including documentation and account management. Manage end-to-end processes related to issuance and amendments of Letters of Credit (LC) and Bank Guarantees (BG). Monitor foreign exchange exposures and coordinate timely booking of forwards and other hedging instruments to mitigate currency risks. Prepare comprehensive treasury MIS reports on a monthly, quarterly, and annual basis, including cash flow statements, debt schedules, utilization reports, and FX exposure analysis. Support the management of working capital loans (Cash Credit, WCDL, Overdraft) and term loans to optimize financing costs. Ensure accuracy of treasury-related accounting entries and reconciliations in close coordination with the finance and accounts teams. Qualifications & Experience Qualified Chartered Accountant (CA) or MBA with 2 to 6 years of experience in treasury operations, working capital management, and trade finance instruments. Proficient in handling LC/BG issuance, banking documentation, and online banking portals. Solid experience in treasury accounting, cash flow forecasting, and management information system (MIS) preparation. Strong ethical standards, integrity, and problem-solving skills. Ability to thrive in fast-paced, dynamic environments while consistently delivering high-quality results. Join Zetwerk and be part of a fast-growing organization where your expertise in treasury and corporate finance will directly impact the company s financial health and growth trajectory.

Job Title: Customer Success Executive E-commerce Insights (SaaS | Bangalore) Location: Bangalore, India Experience: 2 5 Years Industry: E-commerce | SaaS | Data Analytics | Customer Success About the Role As part of our Bangalore-based customer success team, you ll work with leading global brands and partners, ensuring seamless service delivery and helping clients unlock the full potential of their e-commerce data. Key Responsibilities Client Ownership & Engagement: Manage a portfolio of global e-commerce clients, acting as the single point of contact for project execution, performance tracking, and customer satisfaction. Cross-functional Coordination: Collaborate with internal teams across product, operations, analytics, and sales to ensure project feasibility, on-time delivery, and client success. Data Analysis & Reporting: Use brand data to track performance metrics, identify business opportunities, and provide actionable insights through regular reporting and dashboards. Insight-Driven Strategy: Translate e-commerce data into strategic recommendations that drive measurable client value and product adoption. Presentation & Communication: Create compelling reports, visualizations, and client presentations for business reviews and stakeholder discussions. Issue Resolution & Project Management: Address client concerns, manage scope adherence, resolve conflicts, and oversee both BAU and ad-hoc project requests. Mentorship: Support and guide junior team members, fostering skill development and team collaboration. Key Requirements 2 5 years of experience in a customer-facing role within a SaaS or E-commerce organization. Strong understanding of e-commerce operations and analytics. Exceptional presentation and communication skills, both written and verbal. Proven ability to manage KPIs, performance reports, and customer success metrics. Experience in data interpretation, storytelling, and visualization tools (e.g., Power BI, Tableau, Excel). Ability to convert complex data into business recommendations and meaningful conversations. Highly organized, detail-oriented, and customer-focused mindset. Strong ethics, proactive approach, and a team player attitude. At Shopalyst, we re building a global, inclusive workplace that empowers individuals from all backgrounds. We believe diversity fuels innovation and growth. If you re ready to make an impact, even if you don t meet every qualification listed, we encourage you to apply.

Senior AI Program Manager Location: Bangalore, India (Rubrik Office) Team: IT AI (Artificial Intelligence) About the Team Rubrik s IT AI team is leading AI-driven transformation across the organization, leveraging data, automation, and cutting-edge tech to support the company's mission of securing the world s data. This team partners across departments to deliver impactful, scalable AI solutions. Role Overview As a Senior AI Program Manager, you will lead the strategic planning, execution, and governance of AI initiatives across Rubrik s global IT operations. You ll collaborate with cross-functional business units and technical teams to deliver innovative, high-value AI solutions that align with Rubrik's business goals. Key Responsibilities Develop & manage a comprehensive AI program roadmap aligned with business goals. Collaborate with stakeholders across functions (Sales, HR, Finance, Legal, Support, etc.) to gather and prioritize AI solution requirements. Quantify ROI of AI initiatives and drive value-based prioritization. Oversee end-to-end AI project lifecycle: ideation, feasibility, development, deployment, adoption, and success measurement. Partner with technical teams: full-stack developers, data engineers, prompt engineers, cloud architects. Ensure compliance with data privacy, cybersecurity, and ethical AI standards. Champion AI adoption, innovation, and best practices across the organization. Maintain clear communication, manage risks, and provide consistent updates to leadership and stakeholders. What You ll Bring 5 8 years of experience in program management (IT/Tech Consulting/Engineering), with 2+ years leading AI-focused initiatives. Familiarity with Large Language Models (LLMs) and related technologies. Experience working alongside technical teams (developers, data engineers, cloud experts). Strong grasp of AI solution delivery using full-stack and cloud-based technologies. Skilled in business case development, ROI analysis, and roadmap execution. Excellent stakeholder communication, cross-functional leadership, and Agile project management skills (Jira, Confluence). Exceptional organizational and problem-solving abilities; comfortable in fast-paced, ambiguous environments. Preferred Qualifications Bachelor s degree in CS, Engineering, IT, or related field. Experience managing AI programs in large tech companies or consulting firms. Awareness of AI regulations and frameworks (e.g., GDPR, NIST, EU AI Act, CCPA). Rubrik (NYSE: RBRK) secures data across cloud, SaaS, and enterprise environments using its Zero Trust Data Security platform. Powered by machine learning, Rubrik helps organizations ensure data integrity, availability, and resilience against modern cyber threats and disruptions. Qualification : BS in Computer Science, Engineering, Information Technology, or a related technical field.

Job Title: Staff Machine Learning Engineer Location: Bengaluru, Karnataka, India Job Type: Full-Time (Hybrid Work Model) Experience Level: 6-10+ Years About Eightfold.ai: At Eightfold.ai, we re revolutionizing the way organizations find, manage, and empower talent. As a leader in AI-driven HR tech, our groundbreaking platform is transforming industries by using artificial intelligence to solve talent management challenges at scale. We are looking for exceptional engineers to join our team and be at the forefront of innovation in the field of AI. About the AI/ML Team: The AI/ML team at Eightfold is passionate about building cutting-edge solutions and pushing the boundaries of applied machine learning. We work with massive datasets and tackle complex, real-world challenges to develop state-of-the-art AI models. Our models are transforming how companies approach talent management, and we are looking for a Staff Machine Learning Engineer to help lead this journey. What You Will Do: As a Staff Machine Learning Engineer, you will play a critical role in leading and inspiring our ML team while architecting and implementing scalable, robust ML pipelines for our core products. Lead and Inspire: Mentor and guide a team of talented ML engineers, fostering a collaborative environment that encourages innovation. Architect and Implement: Design and build scalable ML pipelines that power Eightfold s core products. Innovate and Optimize: Develop novel algorithms and continuously enhance the performance, accuracy, and scalability of our models. Solve Complex Problems: Work on challenging real-world problems, including NLP, recommendation systems, and predictive analytics. Stay Ahead of the Curve: Research and implement cutting-edge techniques in deep learning, reinforcement learning, and other emerging fields. LLM & NLP Expertise: Design and implement scalable solutions using Large Language Models (LLMs), fine-tuning them for specific NLP tasks, and developing LLM-powered applications. What You Bring: Required Skills & Experience: Deep Expertise in ML & AI: Strong foundation in Machine Learning, Deep Learning, and Natural Language Processing (NLP) with a proven track record of developing and deploying ML models at scale. Technical Leadership: Experience leading and mentoring teams, with excellent communication and collaboration skills. Problem-Solving Mindset: Ability to analyze complex problems and develop innovative solutions. Passion for AI: Genuine enthusiasm for pushing the boundaries of AI and its real-world applications. Advanced Skills in Python & ML Frameworks: Proficiency in Python and relevant ML frameworks (TensorFlow, PyTorch), along with experience in big data technologies like Hadoop and Spark. CS Fundamentals & Coding: Strong foundation in computer science fundamentals and coding languages (Python, C/C++, Java, Scala, R). GenAI & LLM Expertise: Experience in developing and deploying LLM-powered applications, with knowledge of LLM fine-tuning techniques, optimization strategies, and ethical considerations. Nice to Haves: 6-10+ years of experience in Machine Learning and AI. MS or PhD in Computer Science or related field. Publications in top-tier AI conferences. Contributions to open-source ML projects. Familiarity with Generative AI (GenAI), Transformers, and LLMs. Impactful Work: Play a pivotal role in shaping the future of AI and its applications in talent management. Innovative Environment: Work on cutting-edge projects with world-class experts in the field of AI/ML. Career Growth: Accelerate your career in a dynamic, fast-paced environment with abundant opportunities for professional growth. Hybrid Work Model: Embrace a flexible work environment with the ability to collaborate remotely and in-person at our Bengaluru or Noida offices twice a week starting February 1, 2024. Competitive Benefits: Comprehensive family medical, vision, and dental coverage, a competitive base salary, equity awards, and discretionary bonuses or commissions. How to Apply: If you're a passionate AI/ML engineer ready to take on challenging problems and make a meaningful impact, we d love to hear from you. Join Eightfold.ai and help shape the future of AI-powered talent intelligence! Qualification : MS or PhD in Computer Science or a related field

Subsurface AI Specialist Location: Bengaluru, India Company: Chevron Experience: 5+ Years Focus Areas: AI, Machine Learning, Subsurface Data Analysis, Oil & Gas Position Overview The Subsurface AI Specialist will design and implement AI solutions using advanced analytics, modeling, and machine learning to optimize subsurface exploration and production. This role enhances decision-making, automates workflows, and improves resource extraction processes. Key Responsibilities Design and implement AI solutions for subsurface exploration and production. Identify AI opportunities to improve decision-making and automate workflows. Collaborate with Chevron subsurface practitioners and IT teams to deploy innovative AI solutions. Communicate AI value propositions to stakeholders. Ensure ethical AI usage and compliance with data privacy regulations. Analyze and interpret subsurface data to support resource management and decision-making. Key Skills & Qualifications Bachelor s or Master s degree in Geosciences, Petroleum Engineering, Computer Science, or related field. Minimum 5 years of hands-on experience in AI solution development for complex business problems. Knowledge of the oil and gas value chain (upstream, midstream, downstream). Strong background in machine learning, data science, and AI technologies. Proficiency in programming languages such as Python, C++, and cloud AI/ML services like Azure and Databricks. Preferred Qualifications Experience with Agentic AI. Benefits Competitive salary and benefits package Health, dental, and vision insurance Retirement savings plan Paid time off, including vacation and sick leave Opportunities for professional development Apply Now If you are passionate about AI and innovation in the energy sector, apply today to join Chevron's Subsurface team! Equal Opportunity Statement Chevron is an equal opportunity employer, committed to diversity and inclusion in the workplace. Qualification : Bachelors or Masters degree in Geosciences, Petroleum Engineering, Computer Science, or related field.

Job Title: Associate Software Developer Location: Bengaluru, India Company: IBM Consulting Introduction A career in IBM Consulting is rooted in long-term relationships and close collaboration with clients globally. You will work with visionaries across multiple industries to improve hybrid cloud and AI journeys for the most innovative and valuable companies in the world. Your ability to accelerate impact and create meaningful change for your clients is supported by our strategic partner ecosystem and robust technology platforms across the IBM portfolio, including Software and Red Hat. Curiosity and a constant quest for knowledge are the foundation of success in IBM Consulting. In this role, you ll be encouraged to challenge the norm, explore ideas beyond your direct responsibilities, and come up with creative solutions that result in groundbreaking impacts for a broad network of clients. Our culture of evolution and empathy focuses on long-term career growth and development, providing opportunities to grow in an environment that embraces your unique skills and experiences. You ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we provide deep technical and industry expertise to both public and private sector clients around the world. Our delivery centers enable clients to access locally-based skills and technical expertise, helping drive innovation and the adoption of new technology. Your Role and Responsibilities As an Associate Software Developer at IBM, you will work with clients to co-create solutions for major real-world challenges using best practice technologies, tools, techniques, and products. You will be responsible for translating system requirements into the design and development of customized systems. Your responsibilities will include: System Architecture & Development: Work across the entire system architecture to design, develop, and support high-quality, scalable products and interfaces for clients. Collaboration & Technical Specifications: Collaborate with cross-functional teams to understand project requirements and define technical specifications, particularly for generative AI projects. Design Thinking: Employ IBM s Design Thinking methodology to create products that offer an excellent user experience while ensuring high performance, security, quality, and stability. Database and Framework Expertise: Work with a variety of relational databases (e.g., SQL, Postgres, DB2, MongoDB), operating systems (e.g., Linux, Windows, iOS, Android), and modern UI frameworks (e.g., Backbone.js, AngularJS, React, Ember.js, Bootstrap, and JQuery). Product Development: Create mockups, UI components, algorithms, and data structures as part of delivering viable products for clients. Required Education Bachelor s Degree in Computer Science, Software Engineering, or a related field. Preferred Education Master s Degree in Computer Science, Software Engineering, or a related field (preferred, but not required). Required Technical and Professional Expertise Experience: 3-5 years of professional experience in software development. Technical Solution Translation: Ability to translate business requirements into technical solutions. Open Source Technologies: Familiarity with working in Open Source environments and technologies, particularly Python and Django. Web Services & Frameworks: Exposure to web services, application frameworks, and databases. Cloud Platforms: Familiarity with cloud platforms such as AWS, Azure, IBM Cloud, and Google Cloud. Generative AI Knowledge: Exposure to generative AI methodologies and ethical considerations in AI development. Preferred Technical and Professional Experience Full-Stack Development: Flexibility to work across architecture, building both front-end and back-end solutions. Code Quality and Automation: Help maintain and improve code quality, organization, and automation processes. Version Control: Proficiency in using Git repositories for version control and collaborative development. About IBM Consulting IBM Consulting is IBM s global consulting and professional services business, recognized for its market-leading capabilities in business and technology transformation. With deep industry expertise, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are driven by the power of collaboration, aiming to accelerate clients' business success. At IBM Consulting, we believe in the responsible use of technology to help people, partners, and the planet. Qualification : Masters Degree in Computer Science, Software Engineering, or a related field (preferred, but not required).

Location: Bengaluru Designation: Assistant Manager Entity: Deloitte Unleash Your Potential with Deloitte India's impact on the global economy has skyrocketed, and at Deloitte, we offer you an opportunity to unlock your potential by working alongside leaders and organizations that are shaping the future, both in the region and beyond. At Deloitte, we celebrate the whole you. Join us, and you ll be part of a team driven to make an impact that matters by collaborating, innovating, and growing together. About the Team The Technology & Transformation team is about more than just numbers. It s about building upon past achievements, addressing current challenges, and laying the foundation for future success. At Deloitte, we help organizations navigate change, ensuring they stay ahead of the curve. Learn more about the Technology & Transformation Practice. Your Role and Responsibilities As an Assistant Manager (AM) in our Cyber Team, you'll play a key role in building and maintaining positive relationships with both internal teams and clients. Your main goal will be to exceed client expectations and ensure their security and privacy needs are met. Key responsibilities include: Security and Privacy Expertise: Apply knowledge in security and privacy domains such as governance, risk management, compliance, access control, security architecture, incident response, disaster recovery, business continuity, data protection, etc. Industry Standards: Leverage frameworks and standards such as PCI-DSS, ISO/IEC 27001, ISO/IEC 17799, COBIT, ITIL, and others. Risk Management: Demonstrate a deep understanding of security controls and risk management processes. Certifications: Preferably hold certifications like CEH, CISSP, CISA, ISO 27001, ISO 22301, or equivalent. Information Security Management: Assist in ISO 27001-based Information Security Management System (ISMS) implementation and maintenance. Assessing and Improving Security Posture: Evaluate client information security posture, identify risks, and develop solutions to close gaps. Information Security Controls: Review and implement security controls across various areas such as change management, incident management, access management, antivirus management, physical security, etc. Data Privacy: Advise clients on data privacy and information security topics like data leakage prevention and identity management. Client Guidance: Serve as a subject matter expert in security and privacy, supporting clients in developing frameworks and implementing solutions. Audits & Reviews: Conduct information systems audits covering IT infrastructure and advise on best practices for data protection. Desired Qualifications Educational Background: Degree in IT, Computer Science, or related fields. Certifications: PCI-DSS, ISO 27001, ISO 31000, ISO 22301, CISA, ITIL, or equivalent certifications preferred. Other Certifications: CISSP, CEH, GSEC, GCIH, LPT, CCSK, etc. are a plus. Location and Work Style Base Location: Bengaluru Travel: This role involves occasional or frequent travel to client locations. Hybrid Work: Deloitte s default work style is hybrid, tailored to the needs of each domain. Key Expectations for the AM Role As an Assistant Manager at Deloitte, you ll be expected to embrace and live our purpose. You should challenge yourself to identify key issues that matter to clients, your team, and society. Specifically, we expect our AMs to: Inspire and Lead: Lead with integrity, inclusivity, and motivation. Create Purpose: Help shape a vision and purpose that drives positive change. Be Agile: Deliver high-quality results through collaboration and teamwork. Build Diverse Capabilities: Develop and support future capabilities within the team. Influence & Persuade: Ability to influence stakeholders and drive decisions. Collaborate for Solutions: Work together to create new solutions for clients. Drive Value: Leverage business acumen to deliver client value. Expand Business: Spot and leverage new business opportunities. Analytical Thinking: Use data and analytics to inform decisions and recommend impactful solutions. Communication: Effectively communicate and structure ideas for win-win outcomes. Engagement Management: Manage engagements to ensure timely execution and quality results. Adapt to Change: Respond resiliently to changing environments and needs. Manage Quality & Risk: Ensure high-quality results while mitigating risks. Strategic Problem Solving: Apply strategic thinking to solve complex business challenges. Tech Savvy: Use ethical technology practices to create high-impact solutions. Empathy & Inclusion: Foster a safe, inclusive environment where everyone is valued. Growth at Deloitte Connect for Impact: Work alongside exceptional professionals solving complex global issues and making a positive impact on the community, society, and the planet. Empower to Lead: Regardless of your career level, you ll have opportunities to inspire, support, and grow both professionally and personally. Inclusion for All: We value diversity and inclusivity in everything we do. At Deloitte, we are committed to creating a culture where everyone feels respected, valued, and empowered. Drive Your Career: You have the autonomy to shape your career path. With global mobility, cross-business opportunities, and continuous upskilling, you can chart a fulfilling career journey. A Culture of Wellbeing At Deloitte, we prioritize your 360-degree wellbeing. Our workspaces and initiatives cater to your unique needs, including flexibility, accessibility, safety, and support for caregiving. Join us for a workplace where you can thrive. Your Next Step: Unleash Your Potential at Deloitte! Qualification : Degree in IT, Computer Science, or related fields.

What Makes Us a Great Place to Work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity, and a model of social responsibility. We are currently ranked #1 on Glassdoor's Best Places to Work list, and we have maintained a spot in the top four for the last 13 years. We believe that diversity, inclusion, and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities, and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor, and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ, and parents. Who You ll Work With Vector is Bain s integrated digital and analytics capability, bringing together Enterprise Technology and AI, Insights & Solutions (AIS) to deliver cutting-edge innovation. AIS, formed through the merger of Bain's Advanced Analytics and Innovation & Design teams, is a diverse group of experts in analytics, engineering, product management, and design. Together, we create human-centric solutions that leverage the power of data and artificial intelligence to drive competitive advantage for our clients. As part of AIS, the India-based Center of Excellence (COE) specializes in delivering Generative AI (Gen AI) and advanced engineering solutions for our clients globally. The COE will also lead the charge on building solution accelerators for our clients. What You ll Do As a Manager, AIS Software Engineering, you will lead the development and application of technical solutions to address complex problems in various industries. You will guide a diverse engineering team through the entire engineering lifecycle while collaborating with remote and distributed teams, including both technical and consulting teams across the globe. Your responsibilities will include designing, developing, optimizing, and deploying cutting-edge software engineering solutions and infrastructure at the production scale required by the world s largest companies. Collaboration: Work closely with colleagues in the AIS COE (e.g., data scientists, ML engineers, software engineers, platform engineers) to build software solutions that solve clients business problems. Technical Leadership: Serve as the overall technical leader, providing deep expertise in software engineering, distributed systems, AI, and application architecture design. Lead the development and delivery of end-to-end solutions for client cases. Development Lifecycle: Lead key parts of the software development life cycle, including architecture design, writing clean code, conducting code reviews, writing documentation, and identifying issues and resolutions. Framework Development: Collaborate on (or lead) the development of re-usable common frameworks, models, and components to address common software engineering problems across industries and business functions. Best Practices & Innovation: Drive best practices in software engineering and share learnings with team members in AIS. Promote industry-leading innovations to create significant client impact. Team Management: Contribute to creating a great working environment that attracts talented engineers. Act as a PD Advisor as needed and support recruiting and onboarding new team members. Travel Requirements: Minimum travel, based on project needs and training opportunities. About You Education & Experience: Bachelors/Master s degree in Computer Science, Engineering, or a related technical field. 8+ years of hands-on experience in web development, programming languages, version control, software design patterns, infrastructure, deployment, integration, and unit testing. 3+ years of experience managing software engineers. A proven track record of leading a team and collaborating on strategic initiatives, with experience in shipping production applications and software analytics products. Technical Expertise: Expert knowledge (5+ years) of Python. Deep experience with server-side frameworks and technologies such as FastAPI, Node.js, Flask. Familiarity with cloud platforms like AWS, Azure, or GCP. Strong understanding of software architecture, DB design, scalability, and SQL, with experience in RDBMS (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB, Cassandra, Elasticsearch). Experience with client-side technologies such as React, Vue.js, HTML, and CSS. Familiarity with DevSecOps principles, CI/CD tools, MLOps, LLMOps, and infrastructure as code (Jenkins, Docker, Kubernetes, Terraform). Knowledge of software security, privacy regulations, and cybersecurity. Soft Skills: Strong interpersonal and communication skills, including the ability to explain technical concepts to colleagues and clients from other disciplines. Curiosity, proactivity, and critical thinking. Ability to collaborate effectively with people at all levels and with multi-office/region teams. Ability to work independently, manage multiple priorities, and thrive in a fast-paced and ambiguous environment. About Us Bain & Company is a global consultancy that helps the world s most ambitious change makers define the future. Across 65 cities in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition, and redefine industries. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster, and more enduring outcomes. Our 10-year commitment to invest more than $1 billion in pro bono services brings our talent, expertise, and insight to organizations tackling today s urgent challenges in education, racial equity, social justice, economic development, and the environment. We earned a platinum rating from EcoVadis, the leading platform for environmental, social, and ethical performa...

HPE Global IT is a dynamic organization enabling digital transformation through cutting-edge technology solutions. As an AI Governance Lead, you will play a pivotal role in defining and implementing governance frameworks to ensure the responsible and ethical use of AI technologies within HPE. Key Responsibilities Translate high-level business objectives into AI governance requirements and frameworks. Define and prioritize AI governance program goals based on business needs and compliance requirements. Develop, implement, and support AI governance strategies that align with HPE s overall AI vision. Ensure AI projects comply with governance and ethical standards through design reviews and assessments. Analyze business requirements for AI initiatives to design robust governance frameworks. Monitor AI risks, generate key performance metrics, and regularly report on governance effectiveness. Collaborate with Privacy, Cybersecurity, and AI Ethics teams to ensure regulatory compliance. Manage AI governance tools and systems for compliance monitoring and performance analysis. Lead and mentor a technical team of full-time employees and contractors. Establish relationships with vendors and negotiate cost-efficient contracts for AI tools and services. Represent AI governance initiatives in customer-facing discussions and engagements. Willingness to travel domestically or internationally as needed. Required Qualifications Education & Experience: Bachelor s degree with a minimum of 12 years of experience, or Master s degree with a minimum of 10 years of experience in AI governance, IT strategy, or a related field. Skills & Competencies: Leadership & Team Management Strong ability to lead, mentor, and manage technical teams. AI & Data Governance Expertise Deep understanding of AI technologies, machine learning models, and data privacy regulations. Program Management Ability to oversee complex AI governance programs with both technical and business considerations. Problem-Solving & Analytics Strong analytical skills to assess governance risks and implement effective solutions. Communication & Stakeholder Management Ability to explain AI governance concepts to non-technical audiences and collaborate across functions. Preferred Qualifications Experience in Cisco Security Technologies and AI security compliance frameworks. Strong knowledge of privacy regulations, cybersecurity policies, and AI ethical principles. Familiarity with AI risk assessment models and compliance auditing tools. Why Join HPE? Health & Wellbeing We offer a comprehensive benefits package to support your physical, financial, and emotional well-being. Personal & Professional Development HPE invests in your career growth through specialized training programs and internal mobility opportunities. Diversity, Inclusion & Belonging We embrace diversity and create an inclusive work environment where everyone feels valued and empowered. At HPE, we make bold moves together. Join us in shaping the future of AI governance and enterprise innovation! Qualification : Bachelors degree with a minimum of 12 years of experience, or Masters degree with a minimum of 10 years of experience in AI governance, IT strategy, or a related field.

Description Do you have a passion for leveraging AI and machine learning to create transformative solutions? We are seeking a Lead Data Scientist to drive innovation, scale critical data science products, and set new standards in AI excellence. As a thought leader in the team, you will play a pivotal role in mentoring peers, advancing AI capabilities, and delivering measurable business impact. Role As a Lead Data Scientist, you will own the development of complex AI solutions, driving innovation and scaling data science products that are critical to Salesforce Customer s success. You will serve as a thought leader, pushing boundaries while collaborating across teams. Key Responsibilities Machine Learning and AI Development Design, implement, and deploy state-of-the-art models, including LLMs and Generative AI frameworks. Perform model optimization for performance, scalability, and accuracy. Implement advanced feature engineering techniques for both structured and unstructured data. Leverage leading libraries like TensorFlow, PyTorch, and Hugging Face for experimentation and production. Write clean, maintainable, and highly optimized code while following advanced Git workflows like Gitflow. Build and optimize machine learning pipelines with tools like AWS SageMaker, Airflow, or Prefect. Deployment and tracking of real time and batch models Containerize applications using Docker and deploy them to cloud platforms. Implement robust CI/CD pipelines for seamless machine learning deployments. Design and optimize SQL queries and database schemas for efficient data retrieval. Develop and manage scalable feature engineering pipelines. Architect scalable, fault-tolerant machine learning systems. Drive engineering excellence through best practices in clean, modular code and system design. Team Leadership Mentor and guide junior data scientists, fostering a culture of learning and innovation. Establish and enforce standards and best practices for data science workflows. Influence stakeholders beyond the data science team, driving organizational alignment on DS/ML standards. Operational Excellence Establish and maintain streamlined, scalable processes for data science solution development. Align with company standards to ensure consistency and scalability in AI deployments. Business Impact Collaborate with stakeholders to define problems, metrics, and data-driven solutions. Translate complex technical insights into actionable business strategies that deliver measurable value. Qualifications Experience and Education 3+ years of experience in data science, including deploying AI/ML products at scale. Bachelor s or Master s degree in Mathematics, Computer Science, or a related field (or equivalent experience). Technical Expertise Mastery of Python for data manipulation, machine learning, and software development. Proficiency in ML frameworks like TensorFlow, PyTorch, and scikit-learn. Knowledge of software engineering principles and best practices, including version control, code optimization, modular design, and testing methodologies. Experience with tools like Docker, AWS SageMaker, and Airflow for pipeline optimization. Proficiency in SQL, Spark, and ETL processes. Familiarity with Generative AI, LLMs, NLP frameworks, and vector databases. Hands-on experience with cloud platforms like AWS. Soft Skills Craft detailed design documents and technical white papers. Translate technical concepts into business-friendly language. Lead cross-functional discussions and align diverse viewpoints. Deliver polished presentations to senior stakeholders. Exhibit exceptional problem-solving and leadership abilities. Why Join Us? Work on cutting-edge AI and data science projects with a measurable business impact. Collaborate with a talented and passionate team of professionals. Grow professionally with access to modern tools, technologies, and resources. Be part of a culture that values innovation, collaboration, and growth. Qualification : Bachelors or Masters degree in Mathematics, Computer Science, or a related field (or equivalent experience).

Key Responsibilities: Cell Therapy Product Development: Lead the development of new cell therapy products, overseeing the validation process to ensure successful transition to the next stage of product development. Cell Culture Techniques: Apply extensive experience in different types of cell culture techniques, ensuring the optimal growth and maintenance of cells required for therapy products. Large-Scale Bioreactor Operations: Oversee the operation of large-scale bioreactors for biologicals, catering to both commercial and clinical requirements. Ensure that all aseptic operations are performed to the highest standards. Gene Transfer Methods: Utilize and manage both viral and non-viral methods of gene transfer, incorporating these techniques into cell therapy protocols. Equipment and Facility Maintenance: Maintain equipment and facilities in compliance with industry standards, ensuring the implementation of effective calibration, preventive maintenance, and validation programs. Documentation & Reporting: Prepare and review cGMP-compliant documentation, including SOPs, batch records, checklists, protocols, and reports. Ensure that all documentation is accurate and up to date for regulatory purposes. Team Leadership & Collaboration: Lead a team, providing critical technical and scientific recommendations, troubleshooting, and fostering innovation. Manage the day-to-day activities of team members while encouraging excellence in all aspects of work. Cross-Functional Collaboration: Work closely with cross-functional teams to advance the company s cell therapy pipeline, collaborating effectively in a matrixed team environment. Production Planning: Organize workflow by assigning responsibilities and preparing work schedules to ensure that production targets are met efficiently. Adherence to Project Timelines: Exhibit strict adherence to project timelines, ensuring that quality, safety, integrity, and accuracy are maintained throughout the development and production process. Sterile Practices & Compliance: Understand and enforce systems and processes related to sterile practices, safety protocols, work ethics, and environmental health standards. Key Skills: Cell Therapy Development: In-depth experience in the development of cell therapy products, with the ability to manage the entire development lifecycle from early-stage research through to product validation. Cell Culture Expertise: Expertise in cell culture techniques, both in small and large-scale systems, ensuring cell integrity and performance for clinical and commercial applications. Bioreactor & Aseptic Operations: Proficiency in large-scale bioreactor operations and aseptic techniques, ensuring contamination-free environments for cell and tissue production. Gene Transfer Methods: Hands-on experience in viral and non-viral gene transfer methods, including plasmid DNA transfections and viral vector-based techniques, critical for gene therapy applications. cGMP Documentation: Familiarity with preparing and reviewing cGMP documents, such as SOPs, protocols, and batch records, ensuring compliance with regulatory requirements. Team Management: Leadership skills to manage, guide, and motivate a team, ensuring high levels of collaboration, productivity, and excellence. Problem-Solving & Troubleshooting: Excellent troubleshooting skills, with the ability to innovate and provide technical solutions in the face of operational challenges. Cross-Functional Collaboration: Ability to collaborate across various teams and functions, working towards shared goals and the successful advancement of the cell therapy pipeline. Project & Time Management: Ability to manage multiple projects simultaneously, ensuring that work is completed on time while maintaining high quality and safety standards. Competencies: Leadership & Team Development: Strong leadership skills, with the ability to direct and motivate a team, fostering an environment of growth, innovation, and high performance. Communication Skills: Excellent verbal, written, and presentation skills, with experience in writing grants and research articles. Ability to effectively communicate with internal teams, external collaborators, and stakeholders. Attention to Detail: High attention to detail, ensuring accuracy and precision in all aspects of product development, documentation, and operational procedures. Problem-Solving & Innovation: Ability to troubleshoot and solve complex scientific problems, utilizing innovative approaches to overcome technical and operational challenges. Adaptability & Efficiency: Demonstrated ability to adapt to changing priorities and work in fast-paced, high-pressure environments while maintaining efficiency and meeting production targets. Quality & Safety Focus: Strong focus on maintaining high standards of safety, quality, and compliance throughout all phases of cell therapy development and production. Qualification : M.Sc. / MTech in Life Sciences with 12-18 years of experience in GMP Productioninvolving intense Cell Culture

Key Responsibilities: Primary Cells & Cell Lines: Work with primary cells and cell lines in the context of immunology and immuno-oncology, with experience in developing and validating cell and gene therapy products. Cell-Based Assay Development: Lead the development and execution of cell-based assays, including immunological and immuno-oncological assays, for assessing the efficacy and safety of therapeutic products. Molecular Biology Techniques: Apply molecular biology techniques such as PCR, qPCR, cloning, and real-time PCR to analyze cellular responses and validate product candidates. Flow Cytometry & Sorting: Utilize flow cytometry and sorting techniques for detailed cell characterization, analysis of immune responses, and product quality control. Cross-Functional Collaboration: Collaborate closely with internal teams across manufacturing, quality assurance, clinical development, and supply chain management to advance the cell therapy pipeline. External Collaboration: Engage and coordinate with external collaborators, including contract research organizations (CROs) and vendors, to ensure smooth development and execution of the cell therapy product lifecycle. Project Management: Exhibit strict adherence to project timelines, ensuring that all work is completed on time while maintaining the highest standards of accuracy, integrity, safety, and quality. SOP & Documentation: Prepare and review Standard Operating Procedures (SOPs), protocols, regulatory documents, and reports in alignment with program requirements and compliance guidelines. Sterile Practices & Compliance: Adhere to systems and processes related to sterile practices, safety protocols, work ethics, and environmental health and safety standards. Key Skills: Cell-Based Assays: Expertise in the development and execution of cell-based assays, especially in immunology and immuno-oncology contexts. Ability to assess immune responses and therapeutic efficacy. Immuno-Oncology Knowledge: Deep understanding of immuno-oncology, including cellular and molecular mechanisms of cancer immunity, and how to translate this knowledge into therapeutic strategies. Molecular Biology Techniques: Proficiency in molecular techniques like PCR, qPCR, cloning, and real-time PCR for gene expression analysis, assay development, and validation. Flow Cytometry & Sorting: Expertise in flow cytometry, sorting, and analysis of cellular subsets, with an understanding of how these techniques can be applied to immuno-oncology. Stable Cell Line Generation: Experience in generating and maintaining stable cell lines for therapeutic and assay development purposes. Cross-Functional Team Collaboration: Proven ability to effectively work and communicate within a highly matrixed team environment, working across various functional areas to achieve product development goals. Vendor Management: Strong experience in managing external vendors, including CROs and service providers, ensuring timely and quality execution of outsourced activities. Competencies: Immunological and Immuno-Oncological Expertise: In-depth knowledge of immunology and immuno-oncology, with practical application to cell therapy development. Molecular Biology: Expertise in PCR, qPCR, cloning, and other molecular techniques used for gene analysis and validation of cell therapy products. Effective Communication: Strong verbal and written communication skills, with the ability to present complex data clearly and interact effectively with both internal and external stakeholders. Collaboration & Teamwork: Excellent interpersonal skills, able to collaborate effectively within teams and across functions to drive the progress of the cell therapy pipeline. Project Management: Ability to adhere to timelines and manage multiple projects effectively, ensuring that deadlines are met while maintaining quality and compliance. Vendor & Stakeholder Management: Competency in managing relationships with external partners, ensuring that project goals and deliverables are met to the required standard. Qualification : M.Sc. / MTech in Biotechnology with 3-7 years of experience in GMP Production